HYDE
Publisher intelligence

Know what’s leaking.

Fix what matters.

AI-powered content diagnostics, remediation, and continuous monitoring for publishers losing value to scrapers, bots, and AI crawlers.

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Built for mid-market publishers, subscription media, and content platforms.

Exposure Risk Score

0/ 100

Estimated Annual Revenue Leakage

$0.0M

Modeled from indexed surface area, crawl depth, and subscription ARPU sensitivity.

Detected Exposure Vectors

WordPressGhostNext.jsArc XP
  • HTML source parityopen
  • JSON-LD full textopen
  • AMP reader parityopen
  • RSS full-bodyopen

Subscriber Payload Vulnerabilities

Authenticated HTML72
API JSON54
Edge cache keying41

AI Crawler Activity

AgentShareClass
GPTBot38%High
Bytespider24%High
CCBot17%Med
OAI-SearchBot12%Med
Other9%Low

Recommended Remediations

  1. 01Server-side entitlement for subscriber payloads
  2. 02CDN edge token validation
  3. 03Differentiated response templates by client class
HYDE — Payload-level visibilityHYDE — Subscriber vs. crawler classificationHYDE — Remediation grounded in CMS realityHYDE — Continuous regression monitoringHYDE — Revenue leakage modelingHYDE — Payload-level visibilityHYDE — Subscriber vs. crawler classificationHYDE — Remediation grounded in CMS realityHYDE — Continuous regression monitoringHYDE — Revenue leakage modeling

0%

Automated traffic

A growing share of requests to publisher properties is non-human — often exceeding human volume.

0%

Paywall / exposure issues

A material portion of publishers show measurable content exposure beyond the intended access model.

0%

Cited-source visits from AI summaries

When answers are assembled without a click, distribution economics quietly invert.

Structural gap

Cosmetic controls do not close the payload boundary.

What exists today

A legacy toolkit — necessary, but not sufficient.

  • robots.txt
  • CAPTCHAs
  • rate limiting
  • client-side paywalls

What’s missing

Structural visibility at the payload boundary.

  • No way to verify whether a request is human, subscriber, or AI
  • No standardized channel for legitimate AI content access
  • No tooling to quantify extraction volume or revenue loss

The HYDE solution

Diagnose. Prescribe. Implement and monitor.

Scan

Diagnose

HYDE crawls publisher sites the way a scraper would — testing exposure vectors and scoring revenue risk.

Plan

Prescribe

HYDE generates a prioritized remediation roadmap tailored to your CMS and stack.

Operate

Implement & Monitor

HYDE helps execute fixes and continuously scans for regressions and new threats.

Process

How it works

From automated reconnaissance to continuous assurance.

Active module

Headless crawl map

APICDNCMS

Scroll the timeline — the module updates with each phase.

01

Automated AI scan

Headless browser crawling across real reader paths.

  • 40+ exposure vectors exercised
  • API, source, and payload analysis
  • Severity scoring with revenue impact estimates
02

AI risk report

A precise picture of where value leaves the boundary.

  • Classification signals across scraper and AI crawler patterns
  • Subscriber vs. anonymous payload deltas
  • Benchmarked exposure relative to peer archetypes
03

Remediation plan

Stack-aware recommendations — not a generic checklist.

  • CMS / CDN-specific configuration guidance
  • Server-side content gating patterns
  • Bot detection rules tuned to publisher traffic
04

Deploy and onboard

Hands-on support where implementation risk is highest.

  • Change windows coordinated with editorial calendars
  • Validation against subscriber journeys
  • Rollback paths and observability hooks
05

Continuous monitoring

Assurance that protections stay true as the ecosystem shifts.

  • Weekly rescans with regression alerts
  • New crawler signatures tracked
  • Executive-ready leakage summaries

Why HYDE

Built for publishers — not repurposed enterprise noise.

AI-first diagnostics

Purpose-built reconnaissance that treats AI crawlers and extractive agents as first-class threats — not edge cases.

Publisher-native expertise

Deep familiarity with CMS architectures, subscription economics, and distribution — where paywalls meet payloads.

Vendor-agnostic

Recommendations map to your constraints. HYDE prescribes best-fit controls rather than reselling a single stack.

Licensing intelligence

Context on how AI distribution is reshaping value — so protection decisions align with partnership strategy.

Ideal customer

Who it’s for

Profile

  • Digital-first or hybrid publishers
  • $2M–$50M annual revenue
  • Subscription or ad-supported models with paywalled content
  • Stacks including WordPress, Ghost, Next.js, Arc XP
  • Often no dedicated security or infrastructure team

Where HYDE fits best

  • Regional and metro news groups
  • Trade publications
  • Finance, health, and niche subscription media
  • Vertical content platforms and newsletters at scale

Why teams engage

  • They know scraping is a problem — but can’t quantify it
  • Urgency is rising as peers sign structured AI deals
  • The diagnostic is accessible, technical, and actionable
  • There is a clear path from assessment to sustained protection

People

Team

Built from firsthand experience at the intersection of AI systems and content economics.

Rushaan Agarwal

Co-founder

Systems, strategy, and publisher partnerships.

Pranay Sadani

Co-founder

Product, diagnostics, and implementation leadership.

Ready to find out what your content is really worth?

The first diagnostic is the only pitch we need.

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